Comparison of Online Survey Recruitment Platforms for Hard-to-Reach Pregnant Smoking Populations: Feasibility Study

被引:61
|
作者
Ibarra, Jose Luis [1 ]
Agas, Jessica Marie [1 ]
Lee, Melissa [1 ]
Pan, Julia Lily [1 ]
Buttenheim, Alison Meredith [1 ]
机构
[1] Univ Penn, Dept Family & Community Hlth, Fagin Hall,4th Fl,418 Curie Blvd, Philadelphia, PA 19104 USA
来源
JMIR RESEARCH PROTOCOLS | 2018年 / 7卷 / 04期
关键词
socioeconomic status; smoking; nicotine; cognitive bias; Web-based methods; crowdsourcing; delay discounting; vulnerable populations;
D O I
10.2196/resprot.8071
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Recruiting hard-to-reach populations for health research is challenging. Web-based platforms offer one way to recruit specific samples for research purposes, but little is known about the feasibility of online recruitment and the representativeness and comparability of samples recruited through different Web-based platforms. Objective: The objectives of this study were to determine the feasibility of recruiting a hard-to-reach population (pregnant smokers) using 4 different Web based platforms and to compare participants recruited through each platform. Methods: A screener and survey were distributed online through Qualtrics Panel, Soapbox Sample, Reddit, and Amazon Mechanical Turk (mTurk). Descriptive statistics were used to summarize results of each recruitment platform, including eligibility yield, quality yield, income, race, age, and gestational age. Results: Of the 3847 participants screened for eligibility across all 4 Web-based platforms, 535 were eligible and 308 completed the survey Amazon mTurk yielded the fewest completed responses (n=9), 100% (9/9) of which passed several quality metrics verifying pregnancy and smoking status. Qualtrics Panel yielded 14 completed responses, 86% (12/14) of which passed the quality screening. Soapbox Sample produced 107 completed surveys, 67% (72/107) of which were found to be quality responses. Advertising through Reddit produced the highest completion rate (n=178), but only 29.2% (52/178) of those surveys passed the quality metrics. We found significant differences in eligibility yield, quality yield, age, number of previous pregnancies, age of smoking initiation, current smokers, race, education, and income (P<.001). Conclusions: Although each platform successfully recruited pregnant smokers, results varied in quality, cost, and percentage of complete responses. Moving forward, investigators should pay careful attention to the percentage yield and cost of online recruitment platforms to maximize internal and external validity.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Recruiting for arthritis studies in hard-to-reach populations: A comparison of methods used in an urban Spanish-speaking community
    deBrey, VN
    Gonzalez, VM
    ARTHRITIS CARE AND RESEARCH, 1997, 10 (01): : 64 - 71
  • [22] Using technology to study refugee, conflict-affected, and hard-to-reach populations: Methodological and ethical considerations
    Pelletier, Alexandre
    Kaewkitipong, Laddawan
    Guitton, Matthieu J.
    COMPUTERS IN HUMAN BEHAVIOR, 2024, 152
  • [23] Sampling and surveying hard-to-reach populations for demographic research: A study of female labor migrants in Moscow, Russia
    Agadjanian, Victor
    Zotova, Natalya
    DEMOGRAPHIC RESEARCH, 2012, 26 : 131 - 150
  • [24] Sampling 'hard-to-reach' populations in health research: Yield from a study targeting Americans living in Canada
    Southern, D. A.
    Lewis, S.
    Maxwell, C.
    Dunn, J. R.
    Noseworthy, T. W.
    Corbett, G.
    Thomas, K.
    Ghali, W. A.
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2006, 21 : 128 - 128
  • [25] Sampling 'hard-to-reach' populations in health research: yield from a study targeting Americans living in Canada
    Southern, Danielle A.
    Lewis, Steven
    Maxwell, Colleen J.
    Dunn, James R.
    Noseworthy, Tom W.
    Corbett, Gail
    Thomas, Karen
    Ghali, William A.
    BMC MEDICAL RESEARCH METHODOLOGY, 2008, 8 (1)
  • [26] Sampling 'hard-to-reach' populations in health research: yield from a study targeting Americans living in Canada
    Danielle A Southern
    Steven Lewis
    Colleen J Maxwell
    James R Dunn
    Tom W Noseworthy
    Gail Corbett
    Karen Thomas
    William A Ghali
    BMC Medical Research Methodology, 8
  • [27] Contextual factors influencing schistosomiasis treatment and identification of delivery platforms for arpraziquantel in hard-to-reach areas and populations in Homa Bay County, Kenya
    Isaiah, Phyllis Munyiva
    Afriyie, Doris Osei
    Maghanga, Mary
    Ogeto, Donna Obare
    Nyamongo, Mary Amuyunzu
    Steinmann, Peter
    PLOS GLOBAL PUBLIC HEALTH, 2024, 4 (12):
  • [28] Recruiting hard-to-reach populations: lessons from a study of women living in socioeconomically disadvantaged areas of Victoria, Australia
    Cleland, Verity
    Ball, Kylie
    HEALTH PROMOTION JOURNAL OF AUSTRALIA, 2010, 21 (03) : 243 - 244
  • [29] The use of online methods to recruit and follow a hard-to-reach population in the Peer Alternatives for Addiction Study 2021 Cohort
    Zemore, Sarah E.
    Delk, Joanne
    Mericle, Amy A.
    Martinez, Priscilla
    Timko, Christine
    ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH, 2024,
  • [30] Recruiting hard-to-reach populations via respondent driven sampling for mobile phone surveys in Colombia: a qualitative study
    Solorzano-Barrera, Camila
    Rodriguez-Patarroyo, Mariana
    Torres-Quintero, Angelica
    Guzman-Tordecilla, Deivis Nicolas
    Franco-Rodriguez, Aixa Natalia
    Maniar, Vidhi
    Shrestha, Prakriti
    Vecino-Ortiz, Andres I.
    Pariyo, George W.
    Gibson, Dustin G.
    Ali, Joseph
    GLOBAL HEALTH ACTION, 2024, 17 (01)